# Generative AI as a driver of business growth Press release of 9 April 2024: seven areas in which generative AI – especially with enterprise search – creates added value, and how to use it safely. *Vienna, 9 April 2024* How companies can benefit from AI-powered solutions & enterprise search. **(Vienna, 9 April 2024)** Generative AI is a powerful tool that, with the right know-how, can make work processes more productive and efficient. From automated summaries and streamlining processes to creative brainstorming sessions – this article highlights seven key areas in which generative AI, especially in combination with enterprise search solutions, is already creating added value today, and offers insights into how this technology can be used safely and effectively. The introduction of generative artificial intelligence (AI) by OpenAI with the release of ChatGPT at the end of 2022 ushered in a significant change in the use of digital technologies. This advance enables companies to make their work processes more efficient while opening up new paths for creativity and innovation. According to Digital Austria, the increased use of AI in Austrian companies is expected to generate additional value of seven billion euros by 2035. However, the use of generative AI also brings challenges: the decision-making processes of machines are often not fully transparent and can lead to unexpected results. Training data sets can contain errors or inherent biases that distort the output. These shortcomings can lead to so-called “hallucinations”, in which AI systems generate incorrect answers. In addition, copyright issues, especially in the context of creating images, raise significant legal problems. A first step towards minimising the corresponding legal risks is to use your own or explicitly licensed image material as the basis for AI-generated works. To minimise these risks further, it is important to become familiar with the terms of use of the AI platforms and to ensure that all data used complies with the applicable data protection regulations. ## Efficient communication through AI-generated texts Probably the best-known field of application for generative AI in companies is certainly creating and optimising texts. From automatically creating emails to improving texts, artificial intelligence offers a wide range of tools to optimise day-to-day correspondence while safeguarding quality. Simple prompts are enough to turn ChatGPT, Bard and co. into an editor: from simple spell-checking and more readable texts to rewriting entire passages in a specific writing style – generative AI makes it possible. Even translations succeed much better, thanks to the recognition of the specific context, than the texts provided by online translation tools so far. Contracts or legal texts in particular should nevertheless also be proofread by a knowledgeable human, so that there are no nasty surprises. “Especially in the context of enterprise search, the ability of generative AI to provide automatic translations for search queries and documents is an enormous advantage,” says Christoph Wendl, CEO of the Austrian IT company Iphos IT Solutions. “This overcomes language barriers within internationally active companies. Users can search in their preferred language and receive relevant documents that are translated automatically and in context by AI-powered translation tools. This not only improves the user experience, but also promotes collaboration in global teams and increases efficiency in knowledge sharing.” ## Automated summaries for optimised knowledge management Generative AI can build a bridge between the flood of data and knowledge management by creating automated summaries of extensive documents, reports and guidelines. These summaries make it easier for new employees to quickly become familiar with the most important company processes during onboarding. Because the AI presents the key points clearly and accessibly, the entire team can access the information it needs more quickly, without first having to work through detailed documentation. This increases efficiency in solving everyday tasks and fosters a collaborative working culture in which knowledge is shared and used effectively. ## Fast access to relevant data By analysing and categorising company data such as documents, images, emails, databases, etc., generative AI enables efficient access to the information needed by extracting distinctive features. Content can be categorised and searched by common topics, key phrases, key figures and contexts, but also by specific image content. Daily data searches are thus shortened considerably, leaving more time for more important tasks. ## Top support with little effort “Artificial intelligence also saves companies time and money in customer service and support. Currently, the most cost-efficient option here is to use it in combination with enterprise search solutions. The AI analyses documents, emails and databases to identify deep connections and relevant information. Help desk staff can now access the data they need immediately through simple requests in natural language and handle customer questions much more efficiently and quickly,” Wendl reports from practice. “Some companies already use fully automated solutions that process requests independently. The AI analyses emails not only for their actual content but also for their tone, searches documents and databases for solutions and answers the request on its own. Especially in internationally active companies that communicate with customers in several languages, such a solution is a decisive competitive advantage.” ## Internal market analyses and anomaly detection Generative AI is not only doing pioneering work in monitoring and analysing company data, it also scores in marketing. By identifying patterns and highlighting irregularities, it helps companies to act proactively and make informed decisions in every respect. Especially in the dynamic world of marketing, generative AI in combination with powerful enterprise search solutions can play a central role. It enables in-depth analysis of customer behaviour and market trends by searching and analysing not only internal data but also a wide range of market information. In this way, not only are internal data searched and analysed, but external information such as customer feedback, online reviews and social media is also tapped in order to gain comprehensive insights into customer behaviour and market trends. This ability to analyse both internal and external data sources efficiently fosters a data-driven marketing strategy. Marketing teams can thus react quickly to changes in the market and optimise their activities accordingly. In addition, AI can carry out dynamic real-time monitoring of internal key figures in accounting and project management and automatically highlight irregularities that would otherwise involve time-consuming, meticulous comparison work. ## The algorithm for more creativity Generative AI can also provide support in the creative field. It serves as a source of inspiration and helps to develop innovative solutions by generating and developing ideas on the basis of specifications. ChatGPT, Bard & co., for example, are excellent brainstorming partners that develop ideas further, bring alternative suggestions and support teams in finding innovative concepts. “In combination with an enterprise search solution, it can be ensured that existing knowledge is built on and that no time is wasted reinventing the wheel,” adds Wendl. ## Beyond technology: the human perspective At this point, critics of AI in the workplace can be reassured: despite the immense impact on work processes, human input was needed to give the AI a framework and ultimately to decide on the quality of the results. For despite the advanced capabilities of AI, experts stress the need for human oversight. “The combination of human judgement and AI-powered efficiency is the key to success,” explains Christoph Wendl. “Through targeted training and the establishment of quality controls, companies can exploit the full potential of AI without jeopardising the integrity and security of their processes.” ## Forward-looking integration as a success factor The use of generative AI in companies promises not only an increase in efficiency but also a clear competitive advantage. Adapting to industry-specific requirements and carefully integrating these technologies are crucial. “It is about setting the course for the future and actively shaping innovation,” Wendl concludes; he has been working intensively for years with AI as part of the in-house enterprise search software searchit. More about enterprise search with searchit: [www.searchit-enterprise-search.com](https://www.searchit-enterprise-search.com) ## About searchit The international company Iphos IT Solutions is redefining “enterprise search engines” for businesses. With the launch of searchit, the company is positioning itself as a sustainable innovator in the industry. With numerous AI functions such as an AI-powered image search, searchit is setting new standards in the industry. The in-house AI lab works on highly innovative AI applications in search that process and generate images and texts. Ing. Christoph Wendl, together with Lyubomir Ivanov, runs the company, founded in 1998, as Chief Executive Officer (CEO); it meets the current challenges of IT with innovative solutions. ## Media contact - Ing. Christoph Wendl, Managing Director, Iphos IT Solutions GmbH - Khekgasse 35, 1230 Vienna, Austria - Phone: +43 1 869 84 00 - Email: [info@searchit.cc](mailto:info@searchit.cc) - [Release as PDF (German)](https://searchit-agent.ai/pr/generative-ki-als-motor-fuer-unternehmenswachstum/20240408-presseaussendung-generative-ai.pdf) --- - searchit AI Agent: This version is generated from the page's language files (scripts/gen-unternehmen.py). The page itself is authoritative.